M.E. Halpern

486 citations
54 papers · 376 · h-index 10

Impact in

Papers in

M.E. Halpern

47 papers receiving 360 citations

Peers

M.E. Halpern
Comparison fields: 5 of 42
  • Cellular and Molecular Neuroscience 134
  • Control and Systems Engineering 147
  • Cognitive Neuroscience 71
  • Electrical and Electronic Engineering 169
  • Numerical Analysis 16
Replace Yasuyuki FUNAHASHI with:
Yasuyuki FUNAHASHI Japan
Mohsen Rakhshan United States
Shaogang Hu China
Hikaru Sasaki Japan
Devansh R. Agrawal United States
David Weikersdorfer Germany
Jingyu Wang China
Milad Zamani Denmark
Xueli Sun China
M.E. Halpern relative to Yasuyuki FUNAHASHI Japan Yasuyuki FUNAHASHI's profile →
Citations per field
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Citations per year

Countries citing papers authored by M.E. Halpern

Since Specialization
Citations

This map shows the geographic impact of M.E. Halpern's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by M.E. Halpern with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.E. Halpern more than expected).

Fields of papers citing papers by M.E. Halpern

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.E. Halpern. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by M.E. Halpern. The network helps show where M.E. Halpern may publish in the future.

Co-authors

The 25 scholars most cited alongside M.E. Halpern, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M.E. Halpern Line = papers co-authored together M.E. Halpern links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201470
2 199429
3 200124
4 201021
5 201120
6 199320
7 201518
8 201117
9 199611
10 20099
11 20039
12 20109
13 20099
14 19937
15 19997
16 20117
17 19917
18 19886
19 19956
20 20076

About M.E. Halpern

M.E. Halpern is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Biomedical Engineering and Cognitive Neuroscience, having authored 54 papers that have together received 376 indexed citations. Recurring topics across this work include Stability and Control of Uncertain Systems (21 papers), Advanced Control Systems Optimization (20 papers), Neuroscience and Neural Engineering (17 papers), Control Systems and Identification (8 papers), EEG and Brain-Computer Interfaces (8 papers), Adaptive Control of Nonlinear Systems (7 papers), Advanced Memory and Neural Computing (6 papers) and Energy Harvesting in Wireless Networks (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (134 citations), Control and Systems Engineering (147 citations), Cognitive Neuroscience (71 citations), Electrical and Electronic Engineering (169 citations) and Numerical Analysis (16 citations). M.E. Halpern has collaborated with scholars based in Australia, Russia and United States. Frequent co-authors include David C. Ng, Robin Hill, Efstratios Skafidas, B.T. Polyak, Jiawei Yang, James B. Fallon, Robin J. Evans, Hamish Meffin, Omid Kavehei and B. T. Polyak. Their work appears in journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Biomedical Engineering, Systems & Control Letters, International Journal of Adaptive Control and Signal Processing and International Journal of Control.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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